🧑‍🔬 Brenden M. Lake

🏛️ Affiliations

🎓Princeton UniversityPrinceton · United States2025–2026 · 13 papersEmployment · Associate Professor, Departments of Computer Science and Psychologycurrent🎓New York UniversityNew York · United States2015–2025 · 70 papers🏢MetaMenlo Park · United States2018–2020 · 5 papers🎓Stanford UniversityStanford · United States2008–2009 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks (2018 · 160 citations)
   The paper asks whether recurrent seq2seq models can generalize systematically by recombining words they already know well, as opposed to learning a brand-new word.
2. A systematic investigation of learnability from single child linguistic input (2024 · 5 citations)
   Modern language models learn from vastly more text than a child hears, and that text is very different from speech addressed to children.

All works

8 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Human-level concept learning through probabilistic program induction ↗Science 350(6266):1332–1338 · no summary yetBrenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum2015 · 2,959 citations
2. Rearranging the Familiar: Testing Compositional Generalization in Recurrent NetworksEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPJoão Loula, Marco Baroni, Brenden Lake2018 · 160 citations
3. Deep neural networks predict category typicality ratings for images ↗no summary yetBrenden M. Lake et al.2015 · 57 citations
4. H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark ↗arXiv:2409.01374 · no summary yetSolim LeGris et al.2024 · 12 citations
5. The Omniglot challenge: a 3-year progress report ↗arXiv:1902.03477 · no summary yetBrenden M. Lake, Ruslan Salakhutdinov, Joshua B. Tenenbaum2019 · 8 citations
6. A systematic investigation of learnability from single child linguistic inputarXiv:2402.07899Yulu Qin, Wentao Wang, Brenden M. Lake2024 · 5 citations
7. Whither symbols in the era of advanced neural networks? ↗Trends in Cognitive Sciences · no summary yetThomas L. Griffiths et al.2026 · 2 citations
8. Deep neural networks can learn generalizable same-different visual relations ↗arXiv:2310.09612 · no summary yetAlexa R. Tartaglini et al.2023 · 2 citations

🤝 Co-authors here

2 co-authors with a page, the most papers together first.

• Marco Baroni
• Wentao Wang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP: EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP 2018
• Science 350(6266):1332–1338
• Trends in Cognitive Sciences

🔗 Cited by

Papers of our library cite their works 225 times (of the 149,439 papers whose bibliographies we read); 23 citing papers with a page here →.

Updated 1 November 2026

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